Evidence map›Paper›PMID 35805970›Full record

ArticleInternational journal of molecular sciences2022

Silicon Controls Bacterial Wilt Disease in Tomato Plants and Inhibits the Virulence-Related Gene Expression of

Lei Wang, Yang Gao, Nihao Jiang, Jian Yan, Weipeng Lin, Kunzheng Cai

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.6field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Lei WangGuangdong Provincial Key Laboratory of Eco-Circular Agriculture, Guangzhou 510642, China.ORCID 0000-0002-2297-1241
Yang GaoGuangdong Provincial Key Laboratory of Eco-Circular Agriculture, Guangzhou 510642, China.
Nihao JiangGuangdong Provincial Key Laboratory of Eco-Circular Agriculture, Guangzhou 510642, China.
Jian YanGuangdong Provincial Key Laboratory of Eco-Circular Agriculture, Guangzhou 510642, China.ORCID 0000-0001-8597-9841
Weipeng LinTea Research Institute, Guangdong Academy of Agricultural Sciences/Guangdong Key Laboratory of Tea Plant Resources Innovation & Utilization, Guangzhou 510640, China.
Kunzheng CaiGuangdong Provincial Key Laboratory of Eco-Circular Agriculture, Guangzhou 510642, China.ORCID 0000-0002-4888-2239
Key Laboratory of Guangdong Province · CNGuangdong Academy of Agricultural Sciences · CNSouth China Agricultural University · CN

Funding

National Natural Science Foundation of China 31370456National Natural Science Foundation of China 31870420Natural Science Foundation of Guangdong Province 2017A030313177Natural Science Foundation of Guangdong Province S2012010010331Science and Technology Program of Guangdong Province 2121A0505030057
6 · The paper itself

Abstract

Silicon (Si) has a multifunctional role in improving plant growth and enhancing plant disease resistance, but its mechanisms are not fully understood. In this study, we investigated the impacts of silicon application on the control of bacterial wilt and elucidated the molecular mechanisms using transcriptome sequencing. Compared to non-Si treatment, Si application (0.5-2 mM) significantly reduces tomato bacterial wilt index by 46.31-72.23%. However, Si does not influence the growth of

Indexed as

Ralstonia solanacearumSolanum lycopersicumGene ExpressionPlant DiseasesSiliconVirulenceSiliconbacterial wiltbiofilmRalstonia solanacearumsilicontomatovirulence-related genes

Identifiers

PMID35805970
PMCPMC9266643
OpenAlexW4283367835

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.